Evaluation of evapotranspiration estimation under cloud impacts over China using ground observations and multiple satellite optical and microwave measurements
Agricultural and Forest Meteorology(2022)
Abstract
•A small bias in EDVI-ET is found over eight river basins using water balance method.•EDVI-ET performs a larger magnitude and higher accuracy than MOD16 over crop lands.•Cloud-induced changes in ET vary from 10% to 40% compared to clear sky conditions.•Cloud impacts are more significant for forests, savannas and crops than barrens.•EDVI-ET is most sensitive to radiation for forests, but to humidity for arid barrens.
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Key words
Evapotranspiration (ET),microwave Emissivity Difference Vegetation Index (EDVI),cloudy sky,MOD16
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